Výsledky vyhledávání - "Reinforcement Learning Algorithm"

Event-Driven Guaranteed Cost Control Design for Nonlinear Systems With Actuator Faults via Reinforcement Learning Algorithm Autor Zhang, Huaguang, Liang, Yuling, Su, Hanguang, Liu, Chong

“…This article presents a novel event-driven guaranteed cost control method for nonlinear systems subject to actuator faults…”
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Path-Analysis-Based Reinforcement Learning Algorithm for Imitation Filming Autor Dang, Yuanjie, Huang, Chong, Chen, Peng, Liang, Ronghua, Yang, Xin, Cheng, Kwang-Ting

“…Imitation filming has been applied to autonomous filming by mimicking human operators. To imitate the operation of cameramen when filming multiple human…”
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G2P2C — A modular reinforcement learning algorithm for glucose control by glucose prediction and planning in Type 1 Diabetes Autor Hettiarachchi, Chirath, Malagutti, Nicolo, Nolan, Christopher J., Suominen, Hanna, Daskalaki, Elena

“…Developing diagnostic and treatment solutions for medical applications is often challenging due to the complex dynamics, partial observability, high inter- and…”
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Research on optimal configuration of urban fast charging stations based on deep reinforcement learning algorithm Autor Liang, Qiu, Huang, Jingjing, Che, Yuanhong, Chen, Diyu

“… Firstly, based on the improved objective cascade method, the microgrid group is decoupled into multiple sub-microgrids according to different boundaries of interest subjects, with contact power…”
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A Q-Cube Framework of Reinforcement Learning Algorithm for Continuous Double Auction among Microgrids Autor Wang, Ning, Xu, Weisheng, Shao, Weihui, Xu, Zhiyu

“… The emerging application of reinforcement learning algorithms in energy markets provides solutions to this problem…”
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Energy saving of fans in air-cooled server via deep reinforcement learning algorithm Autor Chu, Wen-Xiao, Lien, Yun-Hsuan, Huang, Kuei-Ru, Wang, Chi-Chuan

“… By introducing the deep reinforcement learning (DRL) algorithm subject to the interactions…”
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Towards Efficient Multi-UAV Air Combat: An Intention Inference and Sparse Transmission Based Multi-Agent Reinforcement Learning Algorithm Autor Han, Jinchao, Yan, Yan, Zhang, Baoxian

“… How to achieve intelligent cooperative maneuver policies subject to limited information sharing caused by the communication constraints among UAVs is crucial for winning air combat…”
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Online two-timescale service placement for time-sensitive applications in MEC-assisted network: A TMAGRL approach Autor Du, An, Jia, Jie, Chen, Jian, Guo, Liang, Wang, Xingwei

“…) to minimize long-term redeployment costs in MEC-assisted systems, subject to the completion…”
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Optimized adaptive event‐triggered tracking control for multi‐agent systems with full‐state constraints Autor Yang, Xiaoyu, Pan, Yingnan, Sun, Jize, Tan, Lihua

“…‐agent systems subject to full‐state constraints. To address the full‐state constraints problem, a nonlinear mapping technique is applied, which can release the feasibility conditions for virtual controllers. Based on the mean…”
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On real-time scheduling in Fog computing: A Reinforcement Learning algorithm with application to smart cities Autor Mattia, Gabriele Proietti, Beraldi, Roberto

“…, which constitute the core of the Fog Computing paradigm. A typical smart city setting is subject to a continuous change of traffic conditions, a node that was saturated can become almost completely unloaded and this creates the need of designing…”
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A Reinforcement Learning Algorithm for Data Collection in UAV-aided IoT Networks with Uncertain Time Windows Autor Cicek, Cihan Tugrul

“… Studies on this subject have been mainly focused on problems where limited UAV battery is introduced as a tight constraint that shortens the mission time in the models, which significantly undervalues the UAV potential…”
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A reinforcement learning algorithm shapes maternal care in mice Autor Xie, Yunyao, Huang, Longwen, Corona, Alberto, Pagliaro, Alexa H, Shea, Stephen David

“… We used a novel behavior paradigm to manipulate the subject's expectation of imminent pup contact and show that DA signals conform to reward prediction error, a fundamental component of reinforcement learning (RL…”
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Reinforcement learning algorithm for industrial robot programming by demonstration Autor Stoica, M., Sisak, F., Morosan, A. D.

“…Programming by demonstration represent a significant subject in the field of robotics and it is developing more and more in the direction of robots for services and humanoid robots…”
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A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation Autor Han, Dong, Mulyana, Beni, Stankovic, Vladimir, Cheng, Samuel

“… We give an overview of the recent advances in deep reinforcement learning algorithms for robotic manipulation tasks in this review…”
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Deep Reinforcement Learning for Physics-Based Musculoskeletal Simulations of Healthy Subjects and Transfemoral Prostheses' Users During Normal Walking Autor De Vree, Leanne, Carloni, Raffaella

“… The deep reinforcement learning algorithm is based on the proximal policy optimization approach in combination with imitation learning to guarantee a natural walking gait while reducing…”
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On Privacy for Reinforcement Learning Algorithms Autor Gomrokchi, Maziar

“… In this thesis, we develop the first differentially private reinforcement learning algorithms for the problem of evaluating a given way of behaving (policy…”
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Social preferences in the public goods game–An Agent-Based simulation with EconSim Autor Bühren, Christoph, Haarde, Jan, Hirschmann, Christian, Kesten-Kühne, Janis

“…Using a reinforcement-learning algorithm, we model an agent-based simulation of a public goods game with endogenous punishment institutions…”
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Adaptive Interleaved Reinforcement Learning: Robust Stability of Affine Nonlinear Systems With Unknown Uncertainty Autor Li, Jinna, Ding, Jinliang, Chai, Tianyou, Lewis, Frank L., Jagannathan, Sarangapani

“… A novel adaptive interleaved reinforcement learning algorithm is developed for finding a robust controller of DT affine nonlinear systems subject to matched or unmatched uncertainties…”
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Event-triggered optimal containment control for multi-agent systems subject to state constraints via reinforcement learning Autor Xu, Jiahong, Wang, Lijie, Liu, Yang, Xue, Hong

“…The paper addresses an event-triggered H ∞ containment control problem for multi-agent systems (MASs) with state constraints. Initially, the problem of state…”
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Joint production, quality and condition-based maintenance strategy for manufacturing system considering the dynamic customer demand under delivery performance Autor Li, Sen, Yang, Zhaojun, He, Jialong, Ma, Chi, Wang, Liang, Li, Guofa, Liu, Yan, Nie, Xinyu

“…•Improved deep reinforcement learning algorithm is proposed to address “curse of dimensionality…”
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